Fraud Detection
That
Sees Beyond
Single
Events
See how fraud risk builds across customers, devices, behaviour and transactions, not just one event at a time, in a single AI‑native fraud prevention and detection platform.
Why
Fraud Teams
Choose WIDTH
Fraud teams often work with point solutions that only see part of the picture. Use one configurable, explainable fraud detection workflow that stays aligned with your institutional risk policies.
Combine model signals, device data, rules and behaviour in one view
Spot organised fraud earlier while cutting noise
Keep an audit‑ready record of fraud decisions
Unified Fraud
Prevention Platform
One platform that spans detection, prevention and post‑event review across emerging fraud topologies.
Fraud detection powered by models and behaviour
Adapt fraud detection as device intelligence, rules and behavior signals change instead of relying on static rules.
Configure rules to match risk appetite and regulation.
Layer thresholds and velocity checks with AI insights.
Route fraud risk signals into existing decisioning systems.
Fraud prevention that executes in real time
Stop high‑risk activity before funds leave customer accounts and focus humans where they matter most.
Hold payment flows when scores or signals breach thresholds.
Pause risky counterparties for review before funds move.
Trigger step‑up checks like stronger authentication.
Identity fraud across documents, devices and behaviour
Catch identity fraud by combining what is on the document with how and where it is used.
Use device fingerprints, velocity, document checks and biometrics.
Run biometric search to spot reused faces and identities.
Feed identity fraud signals into overall fraud risk.
Transaction fraud across cards, wallets and transfers
See transaction fraud across cards, wallets and transfers in one place before it becomes loss.
Define rules for unusual amounts, frequency, counterparties and routes.
Let AI surface patterns that diverge from expected behaviour.
Generate risk signals for events and sequences in real time.
Account takeover that focuses on access and control
Detect account takeover by monitoring how access and control change over time.
Monitor logins, devices, locations and key account changes.
Raise takeover risk when behaviour shifts from normal.
Drive actions like step‑up auth or temporary holds.
Chargeback fraud and promo abuse signals
Treat chargeback fraud and promo abuse as part of one fraud picture, not isolated edge cases.
Track repeated disputes, usage-reason mismatches, and clustered behaviour.
Monitor repeated incentives, multi‑accounting and abnormal referrals.
Combine these fraud signals with your internal rules and logic in your core banking system to seamlessly execute.
Configurable fraud rules with clear explanations
Stay in control of fraud rules and thresholds without needing engineers or specialist technical skills.
Start from guided templates or configure rules directly.
Set rules and thresholds in a no‑code interface.
Use explanations and reason codes instead of black‑box outputs.
Fraud risk management you can defend
Strengthen fraud risk decisions with one AI-native fraud platform that spans detection, prevention and post‑event review across emerging fraud topologies.
Ready to Transform Your Compliance
Join forward thinking compliance teams moving from manual review to autonomous orchestration.
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